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View all- Samet HMitra N(2016)Sorting in spaceSIGGRAPH ASIA 2016 Courses10.1145/2988458.2988503(1-42)Online publication date: 28-Nov-2016
STEWARD: demo of spatio-textual extraction on the web aiding the retrieval of documents
Authors: 
Hanan Samet, 
Michael D. Lieberman, Jagan Sankaranarayanan, Jon SperlingAuthors Info & Claims
Hanan Samet, Michael D. Lieberman, Jagan Sankaranarayanan, Jon SperlingAuthors Info & ClaimsPages 300 - 301
Abstract
A spatio-textual search engine, termed "STEWARD" is demonstrated where document similarity is based on both the textual similarity as well as the spatial proximity of the locations in the document to the spatial search input. STEWARD's performance is enhanced by the presence of a document tagger that is able to identify textual references to geographical entities. The user-interface of STEWARD provides the ability to browse results, thereby making it a valuable "knowledge discovery" tool.
Reference
[1]
H. Samet, H. Alborzi, F. Brabec, C. Esperança, G. H. Hjaltason, F. Morgan, and E. Tanin. Use of the SAND spatial browser for digital government applications. Communications of the ACM, 46(1):63--66, Jan. 2003.
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- STEWARD: demo of spatio-textual extraction on the web aiding the retrieval of documents
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- CIMIC
- Center for Statistical Ecology and Environmental Statistics
- CISCO
- Center for Technology in Government
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Digital Government Society of North America
Publication History
Published: 20 May 2007
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dg.o '07
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Overall Acceptance Rate 150 of 271 submissions, 55%
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View all- Samet HMitra N(2016)Sorting in spaceSIGGRAPH ASIA 2016 Courses10.1145/2988458.2988503(1-42)Online publication date: 28-Nov-2016
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